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Criterion
Paper illustration of a review with planned work, actual event sequence, comparison, and assigned improvement actions.
Operations
After-Action Review
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for ABC Analysis
Operations
ABC Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
LowHighLowLow
Timedifferent
20-45 min1-4 Wochen30-60 min1-2 h
Participantsdifferent
3-126-30 Experten1-52-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Lessons learned, Action items, Event summaryExpert Forecast, Consensus Range, Assumption NotesABC Classification, Focus Rules, Control ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
LearningOperationsImprovement
ForecastingExpertsDecisionStrategy
PrioritizationOperationsPortfolio
StrategyDecisionAssumptionsHypothesis
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